|
JavaTM 2 Platform Standard Ed. 5.0 |
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See:
Description
| Interface Summary | |
|---|---|
| Attribute | This interface represents an attribute associated with a named object. |
| Attributes | This interface represents a collection of attributes. |
| DirContext | The directory service interface, containing methods for examining and updating attributes associated with objects, and for searching the directory. |
| Class Summary | |
|---|---|
| BasicAttribute | This class provides a basic implementation of the Attribute interface. |
| BasicAttributes | This class provides a basic implementation of the Attributes interface. |
| InitialDirContext | This class is the starting context for performing directory operations. |
| ModificationItem | This class represents a modification item. |
| SearchControls | This class encapsulates factors that determine scope of search and what gets returned as a result of the search. |
| SearchResult | This class represents an item in the NamingEnumeration returned as a result of the DirContext.search() methods. |
| Exception Summary | |
|---|---|
| AttributeInUseException | This exception is thrown when an operation attempts to add an attribute that already exists. |
| AttributeModificationException | This exception is thrown when an attempt is made to add, or remove, or modify an attribute, its identifier, or its values that conflicts with the attribute's (schema) definition or the attribute's state. |
| InvalidAttributeIdentifierException | This exception is thrown when an attempt is made to add to create an attribute with an invalid attribute identifier. |
| InvalidAttributesException | This exception is thrown when an attempt is made to add or modify an attribute set that has been specified incompletely or incorrectly. |
| InvalidAttributeValueException | This class is thrown when an attempt is made to add to an attribute a value that conflicts with the attribute's schema definition. |
| InvalidSearchControlsException | This exception is thrown when the specification of the SearchControls for a search operation is invalid. |
| InvalidSearchFilterException | This exception is thrown when the specification of a search filter is invalid. |
| NoSuchAttributeException | This exception is thrown when attempting to access an attribute that does not exist. |
| SchemaViolationException | This exception is thrown when a method in some ways violates the schema. |
Extends the javax.naming package to provide functionality for accessing directory services.
This package defines the directory operations of the Java Naming and Directory InterfaceTM (JNDI). JNDI provides naming and directory functionality to applications written in the Java programming language. It is designed to be independent of any specific naming or directory service implementation. Thus a variety of services--new, emerging, and already deployed ones--can be accessed in a common way.
This package allows applications to retrieve and update attributes associated with objects stored in a directory, and to search for objects using specified attributes.
You use getAttributes() to retrieve the attributes associated with a directory object (for which you supply the name). Attributes are modified using modifyAttributes(). You can add, replace, or remove attributes and/or attribute values using this operation.
DirContext also behaves as a naming context by extending the Context interface in the javax.naming package. This means that any directory object can also provide a naming context. For example, the directory object for a person might contain the attributes of that person, and at the same time provide a context for naming objects relative to that person such as his printers and home directory.
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JavaTM 2 Platform Standard Ed. 5.0 |
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Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


PowerPoint Is Evil (Not!)
Here.  If PPT didn't allow you to make intelligent presentations, then I'd be all for panning it, but that's not true. PowerPoint can be used for good or for evil, but it's only a tool; it's the presenter that decides the use to which the tool is put.


Audry Kelly
Manager
Manager
- ID: 1
- EMAIL<EMAIL_ADDRESS>- OFFICE NUMBER: A113
Tom Hanks
Engineer
Engineer
- ID: 2
- EMAIL<EMAIL_ADDRESS>- GITHUB<EMAIL_ADDRESS>Michael Scott
Engineer
Engineer
- ID: 3
- EMAIL<EMAIL_ADDRESS>- GITHUB<EMAIL_ADDRESS>Shaun Spencer
Intern
Intern
- ID: 4
- EMAIL<EMAIL_ADDRESS>- SCHOOL: SBPD


--- layout: post status: publish published: true title: Podcast Moves to Off-Season Schedule author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 6251 wordpress_url: http://ivyenvy.com/?p=6251 date: '2011-10-02 09:10:30 +0000' date_gmt: '2011-10-02 14:10:30 +0000' categories: - Podcast tags: - Podcast comments: [] ---
With the conclusion of the 2011 Cubs' season, The Ivy Envy Podcast will move to it's off-season broadcast schedule. The podcast will continue to be released weekly, but on Tuesday evenings rather than Saturday mornings. The off-season episodes tend to be closer to 30 minutes in length, rather than their typical hour-long episodes during the baseball season.
Unless there is major news in the meantime, the next episode will be released on October 11th.
IvyEnvy.com is part of Relentless Podcast Network.
Ivy Envy in iTunes
Ivy Envy on Facebook


[gecode-users] Bug in Utool/J, IntVar.toString?
Alexander Koller
koller at cs.columbia.edu
Sat Sep 30 18:27:00 CEST 2006
Hi guys,
also when I run the "Money" and "MagicSquare" examples in the Utool/J
1.0.0 distribution, the Explorer runs fine and displays a green leaf.
But when I double-click on the green leaf to display the solution, Java
crashes because of an EXCEPTION_ACCESS_VIOLATION in the C++ library.
The C++ versions of both programs run fine for me.
I have attached the error report files for both example programs. The
error seems to occur somewhere in the IntVar.toString method (or
whatever C++ function it calls).
Cheers,
Alexander.
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More information about the gecode-users
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Trump to visit London in December for Nato summit
The summit will feature a reception hosted by the Queen at Buckingham Palace.
US President Donald Trump will travel to Britain in early December for a Nato summit, the White House has confirmed
The American president and his wife Melania will be in the UK from December 2-4 for the gathering of Western leaders – as the snap General Election campaign intensifies ahead of the December 12 poll.
The summit will feature a reception hosted by the Queen at Buckingham Palace.
Mr Trump has faced large-scale demonstrations on his two previous visits to London as US president.
A White House statement said: “Seventy years after its founding, Nato remains the most successful alliance in history, guaranteeing the security, prosperity, and freedom of its members.
“President Trump looks forward to meeting with the other Nato heads of state and government to review the alliance’s unprecedented progress on burden-sharing, including adding more than 100 billion dollars in new defence spending since 2016.
“The president will also emphasise the need for the Nato alliance to ensure its readiness for the threats of tomorrow, including those emanating from cyberspace, those affecting our critical infrastructure and telecommunications networks, and those posed by terrorism.”


Classes
Handles Asset management (CSS & JS) and also pipelining (combining into a single file for each asset)
The ZipBackup class lets you create simple zip-backups of a grav site
Simple wrapper for the very simple parseuseragent() function
The GravCache object is used throughout Grav to store and retrieve cached data.
Offers composer helper methods.
The Compiled base class.
The Compiled Blueprints class.
The Compiled Configuration class.
The Compiled Languages class.
The Config class contains configuration information.
The Configuration & Blueprints Finder class.
The Languages class contains configuration rules.
The Config class contains configuration information.
Blueprint handles the inside logic of blueprints.
Blueprints class keeps track on blueprint instances.
Recursive data object
Data interface
Data validation.
Class Debugger
Class Debugger
Class CompiledFile
Folder helper class.
Class Plugins
Class Themes
Class Plugins
Class Themes
Abstract class to implement magic __get(), __set(), __isset() and __unset().
Grav
This file is part of urodoz/truncateHTML.
Inflector for pluralize and singularize English nouns.
Class Iterator
Language and translation functionality for Grav
Language and translation functionality for Grav
A trait to add some custom processing to the identifyLink() method in Parsedown and ParsedownExtra
Collection of Pages.
Media is a holder object that contains references to the media of page. This object is created and
populated during the getMedia() method in the Pages object
The Medium is a general class for multimedia objects in Grav pages, specific implementations will derive from
MediumFactory can be used to more easily create various Medium objects from files or arrays, it should
contain most logic for instantiating a Medium object.
Renderable Medium objects can be rendered to HTML markup and Parsedown objects
The Image medium holds information related to an individual image. These are then stored in the Media object.
The Page object, or "Page" object is the main powerhouse of Grav. It contains all the information
related to the nested pages structure that represents the content. Each page has several attributes that
can be retrieved via public functions. Also each page can potentially contain an array of sub-pages.
GravPages is the class that is the entry point into the hierarchy of pages
The Plugin object just holds the id and path to a plugin.
The Plugins object holds an array of all the plugin objects that
Grav knows about
The Config class contains configuration information.
Wrapper for Session
The Taxonomy object is a singleton that holds a reference to a 'taxonomy map'. This map is
constructed as a multidimensional array.
The Themes object holds an array of all the theme objects that Grav knows about.
The Twig object handles all the Twig template rendering for Grav. It's a singleton object
that is optimized so that it only needs to be initialized once and can be reused for individual
page template rendering as well as the main site template rendering.
The Twig Environment class is a wrapper that handles configurable permissions
for the Twig cache files
The Twig extension adds some filters and functions that are useful for Grav
A trait to add some custom processing to the identifyLink() method in Parsedown and ParsedownExtra
The URI object provides information about the current URL
User authentication
Group object
User object
Misc utilities.

Implements getters and setters.
Implements Constructor for setting items.
Implements \Countable interface.
Implements ExportInterface.
Defines Export interface.
Implements \Iterator interface.
Implements nested ArrayAccess interface with dot notation.
Implements getters and setters.
Implements \Serializable interface.
Blueprints can be used to define a data structure.
Implements Dependency Injection Container.
Defines ServiceProviderInterface.
Implements Symfony Event interface.
Implements Symfony EventDispatcher interface.
Defines EventSubscriberInterface.
Implements Universal File Reader.
Defines FileInterface.
Implements INI File reader.
Implements Json File reader.
Implements Log File reader.
Implements Markdown File reader.
Implements Gettext Mo File reader (readonly).
Implements PHP File reader.
Implements YAML File reader.
Implements recursive iterator over filesystem.
Defines ResourceLocatorInterface.
Implements FilesystemIterator for uniform resource locator.
Implements Uniform Resource Location.
Implements session messages.
Implements Session handling.
Implements Read Only Streams.
Implements Read/Write Streams.
Class StreamBuilder
Defines Generic PHP stream wrapper interface.


|
SounDroid
1.0
The Android part of the project for controlling desktop's sound volume from an Android application
|
Activity for making connection to the given desktop. More...
Inherits Activity.
Protected Member Functions | |
| void | onCreate (Bundle savedInstanceState) |
Private Member Functions | |
| Runnable | getConnection (final DesktopData data) |
| Connect to desktop which data has given. More... | |
Private Attributes | |
| NetConnector | connector |
| The network connector. More... | |
Static Private Attributes | |
| static final String | TAG = "ConnectingActivity" |
| The tag for writing to log. More... | |
Activity for making connection to the given desktop.
Definition at line 44 of file ConnectingActivity.java.
|
inlineprivate |
Connect to desktop which data has given.
| data | The data of the desktop for connecting to |
Definition at line 96 of file ConnectingActivity.java.
References com.android.net.NetConnector.connect(), com.android.ui.ConnectingActivity.connector, com.android.net.DesktopData.getIP(), com.android.net.DesktopData.getPort(), com.android.net.NetConnector.handShake(), com.android.net.NetConnector.isReachable(), and com.android.ui.ConnectingActivity.TAG.
Referenced by com.android.ui.ConnectingActivity.onCreate().
|
inlineprotected |
Definition at line 56 of file ConnectingActivity.java.
References com.android.ui.ConnectingActivity.connector, com.android.ui.DistanceVolumeActivity.connector, com.android.ui.DistanceVolumeActivity.EXTRA_ACTION_TYPE, com.android.ui.ConnectingActivity.getConnection(), and com.android.ui.ConnectingActivity.TAG.
|
private |
The network connector.
Definition at line 53 of file ConnectingActivity.java.
Referenced by com.android.ui.ConnectingActivity.getConnection(), and com.android.ui.ConnectingActivity.onCreate().
|
staticprivate |
The tag for writing to log.
Definition at line 51 of file ConnectingActivity.java.
Referenced by com.android.ui.ConnectingActivity.getConnection(), and com.android.ui.ConnectingActivity.onCreate().


Rules of Engagement Rated [R], 127 minutes Starring Samuel L. Jackson and Tommy Lee Jones Screenplay by Stephen Gaghan Based on a story by James Webb Directed by William Friedkin website: www.rulesmovie.com
IN SHORT: Jackson and Jones starpower saves a lackluster script.
We begin with a mob of Arab natives cursing at, throwing rocks and shooting rifles at, the American Embassy in Yemen. A team of Marines is sent in to reinforce the security at the Embassy and, depending on how bad the situation gets, safely evacuate the personnel if necessary. Ambassador Mourain (Ben Kingsley), by the time 32 year veteran Colonel Terry Childers (Samuel L. Jackson) gets there, is hiding under his desk. His wife (Anne Archer) and child are terrified. Colonel Childers does his job, evacuates the embassy and sees three of his men die from sniper fire and gunshots from the crowd. Having been fired upon, he orders return fire, and 83 people are killed. The world's press (that includes domestic) are outraged! National Security Advisor William Sokal (Bruce Greenwood) decides that not prosecuting the Colonel would be akin to a cover-up, and orders the Corps to put the vet out to hang. This, despite the fact that the NSA is in possession of a videotape from the Embassy security system, clearly showing women and children in the crowd firing upon the Embassy.
Gee whillickers, ladies and gents!  You'll catch it immediately. Director William Friedkin trowels it on top of a pair of combat sequences (one in Vietnam, the other the riot in Yemen) which set up everything that scriptwriter Stephen Gaghan decides not to bother with.
With eight day to muster up a defense, one colonel calls on another, Hays Hodges (Tommy Lee Jones) whom he had saved in Vietnam and who has lived out his days in the corps as a self-admitted bad lawyer. Simply put, Good Soldier. Self-admitted Bad Lawyer. Evil Government Stooge withholding evidence. Do I believe any of it?
Hell no.
Does it matter?
 Sure, it would be nice if we got to see a little more background on both men -- everything we need to know is found in expository dialog. And it would have been nice if the film didn't offer up a nod to Fight Club as a way of showing the deep friendship between these men. We know from their previous screen characters that Samuel L. Jackson plays the man against the system very well, just as we know that Tommy Lee Jones is Crankier than I. Both of 'em generate such electricity on the screen (and we're talking the inevitable trial that ends the movie. We've already pointed out that major character development in their parts just doesn't exist) that Rules of Engagement is a fun flick to watch.
On average, a first run movie ticket will run you Eight Bucks. Were Cranky able to set his own price to Rules of Engagement, he would have paid...
$5.00
Absolute Star Power rules in this one. There's so little story development here that, with lesser actors, Rules of Engagement would've gone down in flames. There was a Gulf War vet sitting behind me -- who wouldn't keep his mouth shut as he commented on the military sequences -- who called the whole thing "stupid" when the final credits rolled. But did he "hate the flick," I asked? Hell no.
Simply, buy the big popcorn and check your logic circuits at the door.
The Cranky Critic® is a Registered Trademark of, and Copyright © 2000 by, Chuck Schwartz. All Rights Reserved. Cranky on the web at www.crankycritic.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


--- layout: page title: technologies permalink: /technologies/ description: ---
Three-month, full time course covering the fundamentals of front and back end programming to cutting-edge divbraries and frameworks, such as using technologies such as Node.js, Ruby on Rails and JavaScript. Famidivar with the agile development method;participating in daily stand-ups and regularly pair programming.


A Support System for Anxiety
Social Anxiety Disorder (SAD), also known as Social Phobia, is characterized by a strong and persistent fear of social or performance situations in which humiliation or embarrassment may occur. While it's normal to feel some anxiety in some social situations, those afflicted by social anxiety disorder experience intense distress, self-consciousness, and fear of judgement in everyday social interactions. SAD often prevents people from having normal friendships, interactions, or romantic relationships, and can keep sufferers from functioning in daily life, at work, or at school. Additionally, people with SAD sometimes experience intense worry, fear, or dread about a social situation days or weeks in advance.
People with the disorder stand social interactions in a state of constant distress, and some consequently avoid social interaction all together, at times leading to isolation and withdrawal. Like many other anxiety disorders, those with SAD may realize and acknowledge that their anxiety is often unreasonable or unwarranted, but still find themselves trapped in the cycle of anxiety and fear of social humiliation or embarrassment. Strong physical symptoms, such as nausea, trembling, sweating, or blushing, may occur in sufferers even in "normal", everyday social situations.
Social anxiety disorder affects over 19 million people across America. It is the third most common mental health disorder in America, and the most common anxiety disorder.
You may suffer from SAD if you exhibit the following symptoms:
Like most other mental health disorders, social anxiety disorder rarely has a single cause. Contributing risk factors include genetics, brain chemistry, or trauma. Individuals who have experienced long-term stress, chemical imbalances, or a first-degree family history of anxiety or other mental health disorders may have an increased risk of having SAD.
Social anxiety disorder usually starts when a person is young, often emerging in adolescence or early adulthood. SAD may have psychological contributors - that is, it may develop as a result of experiencing or witnessing traumatic social experiences in the past. Some healthcare professions also attribute the development of SAD to parenting styles, stating that overprotective parenting styles may keep children from learning necessary social skills.
Without treatment, social anxiety can continue indefinitely. People with social anxiety disorder may be diagnosed based on specific or broad social fears.  Broader situations can include speaking to anyone other than a family member, leaving the house, etc.
Women and men are equally likely to develop social anxiety disorder. It often co-occurs with other mental health disorders, like depression, OCD, or other anxiety disorders.
Over 35% of those suffering from SAD report that they experienced signs and symptoms of the disorder for over 10 years before seeking treatment. This may be due to the isolating nature of the affliction - sufferers may find it difficult to ask for or find help.
Social anxiety disorder is generally treated with psychotherapy, counseling, or medication. Many professionals recommend a synthesis of both therapy and medication, and emphasize that medication alone may not be effective for treating the cause of the affliction. Supplementing these methods with alternative treatments like meditation, mindfulness training, or yoga may facilitate recovery.
Cognitive Behavioral Therapy (CBT) is currently the gold standard for treating anxiety disorders, SAD included. This psychiatric therapy technique encourages the patient to learn the connection between their thoughts, feelings, and behaviors. This understanding can allow the patient to visualize and therefore control the underlying cause of their anxiety.
Consult your doctor if you believe you have any of the symptoms related to this disorder, and discuss the benefits and risks of any medication or therapy.


Suicide Silence Release Two New Songs
Listen to two new Suicide Silence songs, taken from their upcoming album Become The Hunter
Just a few weeks after announcing their new album Become The Hunter, Suicide Silence have released two brand new tracks.
The follow-up to 2017’s opinion-splitting self-titled album will be released on February 14 2020, but you can listen to opening track Meltdown and Love Me To Death now on streaming services.
Both tracks hark back to Suicide Silence’s original deathcore sound, with hefty doses of brutality for those of us who love a chugggggg.
READ THIS: Is deathcore dead?
Produced by Steve Evetts (The Dillinger Escape Plan, Sepultura, Hatebreed), Become The Hunter was also mixed by Josh Wilbur (Trivium, Lamb Of God, Gojira) and mastered by Ted Jensen (Pantera, Deftones, Slipknot). Big names, huh?
Listen to the two new tracks below.
Become The Hunter tracklist
1. Meltdown
2. Two Steps
3. Feel Alive
4. Love Me To Death
5. In Hiding
6. Death’s Anxiety
7. Skin Tight
8. The Scythe
9. Serene Obscene
10. Disaster Valley
11. Become The Hunter


Click the Refresh button to query the event log database, or the Empty button to clear the specified entries from the log.


Pencil is an answering engine, a command line tool based on chemistry.
Sort command is use to sort the series of elements on the basis of given property. Any Series of elements e,g : 3d,2p can be sorted.
We incorporated (C)GCC Graph to plot values of property of any series in periodic table e.g : 6f,6p.
Using get command and along with name of any series name e,g: alkali, 7f and D we can get all the property value of the all the element of that series in tabular form.
Using get command and along with its period, group, and f-flag we can get all the property of one elements.
Using state along with get command with specified temperature we can know about the state of the element at, above or below of given temperature.
Using set command we can update the any property value of any element.


[4-5 Jun 2013] CRC Conference: Rhythmic Dynamics and Cognition
[27 Sep 2012] CRC Dinner with speaker Kevin Spencer
[10 Sep 2012] CRC Lecture by Robert Kass
[25 Jun 2012] CRC Dinner with speaker Ed Boyden
[4 Apr 2012] CRC Retreat
[23 Feb 2012] CRC Dinner with speaker Matt Wilson
[1 Feb 2012] Mini-symposium Beta Rhythms and Cognition. Speakers: Earl Miller, Nancy Kopell, Stephanie Jones, Nicholas Schiff, Keith Purpura (Afternoon event with reception at the end)
[26 Jan 2012] Special Talk: Natalie Adams, "Development of patterned activity in de novo neuronal networks," 4pm at BU
[16 Dec 2011] CRC Happy Hour 4-6
[12 Dec 2011] CRC Dinner with speaker Emery Brown
[7 Nov 2011] Grant Writing Seminar by Cyndi Bradham (Slides)
[17 Oct 2011] CRC Dinner with speaker Earl Miller
[12 July 2011] Talk by Yale Cohen on auditory processing
[2 May 2011] CRC Dinner with speakers Barry Connors and Erika Fanslow
[14 Apr 2011] CBD Spring Mini-Symposium Brain Rhythms and Audition hosted by the Center for Biodynamics and Bahaa Hariri Institute for Computational Science and Engineering
[15 Feb 2011] CRC Dinner with speaker Ed Boyden
[10 Dec 2010] CRC Dinner with speaker Mingzhou Ding
[26 Oct 2010] CRC Dinner with speaker Syd Cash
[11 Aug 2010] CRC Dinner with speaker Miles Whittington
[28 Jun 2010] CRC Dinner with speakers Barb Shinn-Cunningham and Matti Hämäläinen
[9 Mar 2010] CRC Dinner with speaker Mark Kramer


Story behind the photo: Lights out
by Bangalore Mirror BureauDiwali is officially over as lights come down all over the city
The picture was clicked by reader Narayana Rao
If you have a picture and a story to share, send us the picture with your name and number at mybangaloremirror@timesgroup.com


Deal: Save $70 on this Vizio 50-inch 4K Smart TV
You don’t realize just how convenient a smart TV is until you use one. Bonus points when it’s got a premium 50-inch screen too. This Vizio D-Series smart TV checks both boxes and it’s just $430 for a limited time.
It packs all of the crisp detail you expect in an ultra HD smart TV, with all of the convenience of Netflix, Amazon Prime Video, and more apps you love. The built-in Spatial Scaling Engine converts everything to ultra HD, so you’ll never want to go back to your old TV.
Enjoy the crisp detail of over 8.3 million pixels.
Everything looks better when it’s powered by 8.3 million Vizio pixels. Maybe you can even solve the mysterious Sasquatch footage once and for all. The V8 Octa-core processor will help launch your apps and power the TV on faster so you won’t miss a minute of your shows.
With four built-in HDMI ports, WiFi, and a screencast app, you can find a way to watch anything you want. Plug in your cable box, an Xbox, and a PlayStation and still have space to add more devices. Vizio’s huge screen might even help you play better in Fortnite.
Vizio D-Series smart TV Highlights:
- Massive 50-inch screen with 4K Ultra HD resolution.
- V8 Octa-core processor to speed up CPU and GPU functions.
- Browse on your phone and cast it right to your TV.
- Enjoy improved energy efficiency from the LED-powered screen.
- Two built-in speakers provide surround sound audio.
This Vizio 50-inch smart TV retails at $500, but right now you can grab yours for just $429.99. Whether you’re looking for sports, movies, or reality TV, it’ll all look better on a Vizio smart TV.
Supplies are disappearing quickly, so upgrade your TV via the button below.
Is this deal not quite right for you? To see all our hottest deals, head over to the DEALS HUB.


David tells about the pelican in psalm 101: "I have become like a pelican in the wilderness." The naturalist says about it that it has great love for its own offspring. Now when it gives birth to young and they begin to grow, they strike their parents and cut them in the face. But the parents strike back, killing their children.  And so our Lord Jesus Christ says, by way of the prophet Isaiah: "I brought forth sons and I exalted; but they have spurned me."  Indeed, we struck him because of the adversary when in his sight we put the created before the creator. On that account he saw fit to ascend onto the cross was pierced in the side and discharged blood and water for our salvation and eternal life. Amen.


The Particle v3 Manual for AviUtl
Original author:
rikky
Translation and expansion by
Maverick Tse
(2015)
For Physics noobs
Basic Physics Instant Notes
Must Read Sections
01: ParticleRender --- everything depend on this!
04: Emission --- where to pop-out your particle.
Optional Features
02: Path_n_FBSwitching
03: Depth_n'Grid
05: Rotation
06: FocalPoint
07: Mag_n'Transp
08: Filter and Filter(For_Monochrome)
09: FineAdjustment_Timing
10: Bounce and Bounce2
11: Text_Image and Video
12: Wind
13: Styles
14: FluxField
15: Trajectory
16: Funnel
17: Mesh
18: Object3D and Glassy2D
19: CustomObject
21: Sound


PUSHING TIN (director: Mike Newell; cast: John Cusack (Nick Falzone), Billy Bob Thornton (Russell Bell),Cate Blanchett (Connie Falzone), Angelina Jolie (Mary Bell), Vicki Lewis (Tina Leary), Jake Weber (Barry Plotkin), Kurt Fuller (Ed Clabes), Jerry Grayson (Leo Morton), 1999)
Who's the better man? That's the real theme of this sitcom comedy/romance film about air traffic controllers in the NYC area, covering its three major facilities, JFK, LaGuardia, and Newark, that is based on a "NY Times Magazine" article about how stressful their job is. As the hot shot traffic controller, Nick Falzone (Cusack), known affectionately by his peers, as "The Zone", who is very confident of his ability to make sure planes land safely, with the keen ability to solve problems quickly, who is also known as being a rapid fire talker possessing a razor sharp mind. Nick's life changes for the emotionally worse when a new controller is transferred into his shift, also a hot shot, or a loose cannon, as Nick prefers to think of him, he is the soft-spoken mystery man, Russell Bell (Thornton), who battles with Nick for top spot, as he displays an extraordinary ability to keep the air lanes clear, without slowing the planes down, so the airlines have no complaints to the supervisors about their planes not being on time. This is called "pushing tin."
The film becomes a contest as to who is the better man, Nick or Russell: 1) As they vie on the job, even wrestling on the floor, for top spot. 2) In racing their vehicles. 3) In their basketball shooting. 4) In each other's marriages. They don't care for each other, as each has different things to work out in their life and each finds something about the other one that disturbs them.The other two characters in this basically four character movie, are Connie Falzone (Cate), Nick's suburban wife and former high school sweetheart, who speaks with a fluent Long Island accent (quite different from her stronger Elizabeth 1 role), and Mary Bell (Jolie), who is the 19-year-old alcoholic, knockout, tattooed wife of the 40-year-old Russell, who relates to the other controllers' wives, as wife number one, as these women refer to themselves by the numbered wife they are to their previously divorced spouses, such as wife number one, two, three, four, or five.All the women' performances are cute, but they don't have too much else going on for them to make their characters interesting.
The male stars keep the film flying along. Billy Bob might just be the best character actor in the movies today. He keeps his character zen-like and puzzling, despite being hampered with an inept script, as he tries to outwit the script that makes everything he is doing seem contrived, as he offers us a contrast to Nick's slightly off-beat regular guy role.Nick is the one who is supposedly contented with his family life and his job, that is, until Russell pulls the rug out from under him and he begins to unravel in all area's of his life. I just wish Cusack would lose that coy smile he seems to bring with him in every role he has, it is starting to wear tiredly lame on him.These stars make their characters seem more real than they have a right to be, because the story is just too thin to carry much weight on it, except to follow its commercial instincts and provide the audience with enough obvious action sequences to keep the pace of the film moving at jet speed, allowing hardly any time for one to sit back and think about the real turbulence that could have been experienced about traffic controllers' stress from the job.
The British director, Mike Newell (DONNIE BRASCO and FOUR WEDDINGS AND A FUNERAL), has a sound ear for comedy and a way of capturing the tense work scene in the control tower. The chaos and controlled confusion in the tower, and close camaraderie waffling in the air between the controllers and even their bosses was fun to watch, as well as giving the audience a chance to be looking over their shoulders at the computer screens they work with, giving an accurate and colorful view of the job they do.
The film chose not to go in the direction of political insights, so no mention is made of the Patco strike (1981), where President Reagan fired over 11,000 controllers of the 17,000 in the nation, creating a shortage that still exists, even though replacements were almost found for all those layed off, but the flights have increased many-fold since then, leaving them with the same stressed-out conditions they complained about before, and with less experienced men on the job. It is really astonishing that a film about traffic controllers wouldn't even mention the most startling event that ever happened to them.
It was the director's ear for comedy that made the film enjoyable, despite the sitcom feel to this story that, at times, made me cringe with disappointment, wishfully thinking that this capable cast, including the fine supporting cast, could have really done well with this subject matter if they were only presented with a potent script instead of this trivial one, that laid all the stress problems on the laps of the controllers' twisted personal lives, such as when Nick screws up, nearly causing two crashes within a short-time span at work, all because his wife left him over his infidelity with Russell's wife and Russell retaliated by screwing his wife, while the real cause of stress, the unimproved work conditions at the airports, is not even broached.
In any case, the humor and the banter among the workers was constantly funny, but the low-key, understated wit of Russell was even more hilarious than the workers' gallows humor, it was laugh out-loud humor, as in the macho driving scene, where Nick is making an effort to get to know his rival, to find out up-close what he is up against, as he invites him out for donuts after work, and starts racing his car and passing cars and trucks dangerously on the crowded Long Island Expressway, and he can't even fluster Russell, as he stops for a light, and as the light turns green, he sits exasperated with his hands folded over the wheel, and Russell quietly says, the light isn't getting any greener, and so, he puts on one more burst of daredevil riding and pulls into the donut shop, and all Russell could say after that harrowing ride is, good, the shop is open... I'm afraid that scenes such as this one, are the only redeeming features of this comedy/romance that saved it from crashing.
REVIEWED ON 5/16/99 GRADE: C+
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
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Introducing the app to keep your brain stimulated!
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CHADWICK HOUSE HOTEL
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Breakfast
The Chadwick House Hotel in Macclesfield offers a free full English breakfast to all guests.
The breakfast is served in the hotel's dining room from 7:00am to 9:00am or to your room daily.
The breakfast buffet includes a variety of hot and cold items, such as:
Toast
Cereal
Yogurt
Fruit
Eggs
Bacon
Sausages
Hash browns
Baked beans
Tea
Coffee
Juice
Guests can also order cooked-to-order items, such as pancakes, waffles, and french toast.
The breakfast buffet is a great way to start your day and fuel up for exploring Macclesfield and the surrounding area.
Here are some reviews from guests about the breakfast at the Chadwick House Hotel:
"The breakfast was delicious! I especially loved the cooked-to-order items." - Hubert Cumberdale
"The breakfast buffet was very generous and had a variety of items to choose from." - Jeremy Fisher
"The staff was very friendly and helpful." - Marjory Stewart-Baxter
"The breakfast was a great way to start our day in Macclesfield." - Sir David Firth
Overall, guests seem to be very happy with the free breakfast offered at the Chadwick House Hotel.
If you're looking for a comfortable and affordable hotel in Macclesfield with a free breakfast,
The Chadwick House Hotel is a great option!
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Create a Web page header that looks like the picture below (100% accuracy is not required). Use tables to achieve the layout. Use list for the menu. Use text input field and button for the search. Link the SoftUni logo with https://softuni.bg. The menu buttons must work (open some URL). Making the menu with a dropdown functionality is optional. You don't need to implement the same styles as the example.
Note: Using tables for creating website layout is not good practice; we use this approach only to practice the making of HTML tables.


1 Such is this labyrinth; and still more marvellous is lake Moeris, on which it stands. This lake has a circumference of four hundred and fifty miles, or sixty schoeni: as much as the whole seaboard of Egypt. Its length is from north to south; the deepest part has a depth of fifty fathoms.
2 That it has been dug out and made by men's hands the lake shows for itself; for almost in the middle of it stand two pyramids, so built that fifty fathoms of each are below and fifty above the water; atop each is a colossal stone figure seated on a throne.
3 Thus these pyramids are a hundred fathoms high; and a hundred fathoms equal a furlong of six hundred feet, the fathom measuring six feet or four cubits, the foot four spans and the cubit six spans.
4 The water of the lake is not natural (for the country here is exceedingly arid) but brought by a channel from the Nile; six months it flows into the lake, and six back into the river.
5 For the six months that it flows out of the lake, the daily take of fish brings a silver talent into the royal treasury, and twenty minae for each day of the flow into the lake.


As reviewing multiple numbers of lending companies (including P2P marketplace model or simple lending platform backed by relevant institutes), I could summarize a basic checklist and set of metrics for company due diligence from VC perspective(not from a P2P investor nor a borrower).
Although the specific activities and flow can vary from several different lending models, many platforms may fall into two types of categories, based on who actually gives loans to borrowers (from the lending platform or capital partner).
As remarked in the figure, you can imagine checkpoints/metrics through specifying the chains of activities, which is the first step in coming up with relevant business metrics. Again, this two diagrams may not be the most representative model.
Reviewing the checklists by following those business activities can be a good way if you’re a novice like me, but here is the compiled one.
User metrics of platform/service (in blue)
- Traffic/registration/downloads, the number of active users(MAU/WAU/DAU), stickiness(DAU/MAU) retention(with cohort analysis), avg time spending(or session duration), conversion rate to whatever important activity( in this case, loan applications or capital commitment), channel mix, user acquisition related metrics (CAC, CPI, CPM, CTR)
Note that only partial metrics are noted in the figure and the details/meanings won’t be covered here. you can find many great explanations of user metrics in ‘lean analytics(link)’ or google. There’s another post on my blog that I listed up as many metrics as I can (link).
Onboarding/Underwrite
- Onboarding channels & process details: how the system onboard lenders? you can see various cases of lending models.
- Credit analysis(for credit loan) details & feasibility: for tech startups, this would be the part that the company wants to emphasize on - data source, data amount, data quality, credit analysis models/algorithms, model performance, model validation, …
- Underwrite process(usually for collateral based): what’s the collateral? how/who evaluate the loan?
Loan Origination/disbursement
- Total volume/# of loans (outstanding/accumulated), Monthly volume/# of loan origination Avg/min/max/median loan value: these are more straightforward points to check the business’ growth
- Who takes the money risks? (e.g. off-balance sheet model or not?): This simple question can have us distinguish the diverse models of lending businesses(pure P2P platform, capital institute backed P2P models, balance sheet lending business, etc. ) As the risk management is one of the most significant matters in lending business, money source & risk structure & risk management need to be checked.
Collection
Money collection is the other critical element since it can affect many metrics related to the healthiness of business.
- Money collection process detail & feasibility: startups may be less competent in money collection process versus traditional lending businesses since it is mainly manual and takes lots of resources(e.g. door walking process).
- NPL(none performing loan) rate (default): NPL should be one of the primary metrics to check the overall soundness of the business.
- strategies/actions to reduce NPL rate: If the company is suffering from high NPL and yet doesn’t have a proper answer to this, you want to test their initial thesis/value proposition since it’s a ‘lending’ business.
- % of 30/60/90+ DPD (days past due) loans: more detailed checkpoints regarding NPL
Return:
- Effective return rate
- Cost of capital
- Commission rate / resulting margin
Others:
- Compliance (KYC, AML and any other regulations)
[Figures]
As noted in the post, there can be many variations in the model.
/case-1: Loan originated by & being offered by lending platform.
/case-2: Lending Platform is only in charge of loan origination.


Dog Gone
Dog Gone is a movie starring Luke Benward, French Stewart, and Kelly Perine.


Links
This section provides links to the various sections of this website
Welcome to the Website of the Most Famous Rugby Tournament in the World
The 6 Nations Tournament of 2009 runs from Saturday 7th February 2009 to Saturday 21st March 2009.
It is comprised of 15 matches between Ireland, Engand, Scotland, Wales, France and Italy.
Each team achieves 2 points for winning a match, 1 point for drawing a match, and 0 points for losing a match.
The team which collects most points is the Six Nations Champion.
If the Six Nations Champion wins all 5 of their matches they are additionally awarded the notional title of Grand Slam Champions.
Any one of the four home nations (Ireland, England, Scotland, Wales) which wins all matches against the other home nations is awarded the notional title of Triple Crown Champions.


While designing the navigation for F!ND, it was easy to go with my personal preference when deciding which navigation features I wanted. After all, I am the target demographic.
I performed usability tests on my roommates and friends, an accurate sample of my target users. I started with the dreaded hamburger menu, and finally made the transition to a bottom tab bar. Read here or here if you still need some convincing to make the switch.
The response was positive. Less clicks + less uncertainty = happier users. (And they said I would never use those 12 math classes I took in undergrad).
But what about a user who knew nothing about the app, nothing about the struggle of living somewhere new or meeting new friends outside of school? How about someone who had grown up with a smartphone glued to his hand? Now that was the opinion I needed.
I did a (very) rough sketch of the app – hamburger style – and presented it to my 18 year old brother.
I asked him what he thought the top left symbol would direct you to, and he easily identified it as the menu. And the top right? “Probably your profile.” Clearly, he understood what they represented, but what about their content?
He knew the basic premise of the app, so I asked him what he expected to see once he revealed the menus. He listed off a variety of things he thought may appear, but the overwhelming opinion was that he wasn’t sure. He said, "It could be anything, but eventually I'll find it – so it's fine."
Then I sketched out the tab bar style navigation for him. I asked him what the various symbols/titles meant and what he expected to see behind them.
His correct responses were unsurprising for me, but watching him come to those realizations on his own was by far the best. At the end of the session I asked him which option he liked best.
"The second one. It’s much more visible. I know exactly what’s going to happen when I click each option. It’s everything I could expect to see in the first option, but I can see it right here."
Well said, kid.
Hamburger menus and their counterparts are blanket icons for what could be a million different choices, a malleability that is both their best and worst feature. This makes them universally recognizable and also universally frustrating.
So it’s not that the hamburger menu doesn’t get the job done. We’ve all accidentally stumbled upon something we’ve been looking for after 20 minutes of searching– but how happy were we when we finally got there?
Tab bar navigation exposes your users’ options and allows them to easily see what they can do and where they go to do it. It decreases the number of choices (and clicks) between a user and their end goal.
Have more than 5 menu choices? Design and iterate alternatives (such as a scrolling tab bar or ‘more’ tab, as explained here)
Tab bar navigation is nothing new – and if my 18 year old brother sees the benefit, what are you waiting for?


placeholder
Artificial Intelligence:
Python, TensorFlow, Keras, R,
Jupyter Notebook, DialogFlow
Web Development:
HTML, CSS, Flask, Firebase,
JavaScript, JQuery, Node.js,
React.js, PHP, Express.js
Mobile Development:
React Native, Swift, XCode
Game Development:
OpenGL, Slick 2D, Java Litiengine


It is a Multilanguage programming competition where you can test your programming skills. Languages required will be popular ones like C , C++ and Java. It will give participants a new experience in terms of practical approach to coding and enhance their coding skills.
DATE FOR COMPETITION: 6 & 7 th of March 2017
Team fees: Rs 200 per team.
Prize Details: Prizes will be given to top three teams
1St prize: Rs 2500/-
2nd prize: Rs 1500/-
3rd prize: Rs 1000/-
Head:
Vaishnavi Tatewar:<PHONE_NUMBER>
Co-Head:
Purva Bamb:<PHONE_NUMBER>
• Q: Do we need to prepare something before coming to competition?
A: No, you just need to have basic knowledge about the language with which you will be coding.
• Q: Do we need to know all languages (c, c++ and java)?
A: No, you just need to know "at least one of these."
• Q: How many rounds will be there
?
A: 3 rounds.
• Q: How long the competition will last?
A: 2 days only.
It needs to be a team of “two” members. You just need to bring a pen.


Wrapper package for the nmfgpu library, which implements several Non-negative Matrix Factorization (NMF) algorithms for CUDA platforms. By using the acceleration of GPGPU computing, the NMF can be used for real-world problems inside the R environment. All CUDA devices starting with Kepler architecture are supported by the library.
| Version: | <IP_ADDRESS> |
| Depends: | R (≥ 3.1.0) |
| Imports: | Rcpp (≥ 0.11.4), Matrix, SparseM, stats, stringr, tools, utils |
| LinkingTo: | Rcpp |
| Suggests: | gdata |
| Published: | 2016-10-17 |
| Author: | Sven Koitka [aut, cre, cph], Christoph M. Friedrich [ctb] |
| Maintainer: | Sven Koitka <sven.koitka at fh-dortmund.de> |
| BugReports: | https://github.com/razorx89/nmfgpu4R/issues |
| License: | GPL-3 | file LICENSE |
| URL: | https://github.com/razorx89/nmfgpu4R |
| NeedsCompilation: | yes |
| SystemRequirements: | CUDA >= v7.0, Nvidia GPU (e.g. GeForce or Tesla) with compute capability >= 3.0 (Kepler) |
| CRAN checks: | nmfgpu4R results |
| Reference manual: | nmfgpu4R.pdf |
| Package source: | nmfgpu4R_<IP_ADDRESS>.tar.gz |
| Windows binaries: | r-devel: nmfgpu4R_<IP_ADDRESS>.zip, r-release: nmfgpu4R_<IP_ADDRESS>.zip, r-oldrel: nmfgpu4R_<IP_ADDRESS>.zip |
| OS X binaries: | r-release: nmfgpu4R_<IP_ADDRESS>.tgz, r-oldrel: nmfgpu4R_<IP_ADDRESS>.tgz |
| Old sources: | nmfgpu4R archive |
Please use the canonical form https://CRAN.R-project.org/package=nmfgpu4R to link to this page.


Slippery Slopes
Traffic, Weather, and Status of Utahs top resorts.


--- layout: post authors: ["Greg Wilson"] title: "ICSE 2015" date: 2015-05-24 time: "10:00:00" tags: ["Research", "Software Engineering"] ---
Back when I was still trying to do science myself, my field of study was software engineering. The International Conference on Software Engineering is the big gathering for researchers in that area, and this year's has just wrapped up. Thanks to this Gist from Mike Hoye, I was able to browse the papers presented at ICSE and co-located workshops (like him, I'm outside the Great Paywall of Academia), and I've included titles and abstracts below from the ones I think readers of this blog might enjoy. They're only a fraction of what was presented, and I freely admit the sample is biased toward the things I understand and find interesting, but I hope they'll convince you that people are doing solid empirical studies in software engineering, and producing insights that we can and should act on.
Note: just over half of these papers (13 of 24) had an easily-findable version online. I'm not going to do the experiment, but I confidently predict that those 13 will be more widely read, and more influential, than the other 11.
How can organizational factors such as structure and culture have an impact on the working conditions of developers? This study is based on ten months of observation of an in-house software development project within a large telecommunications company. The observation was conducted during mandatory weekly status meetings, where technical and managerial issues were raised and discussed. Preliminary results show that many decisions made under the pressure of certain organizational factors negatively affected software quality. This paper describes cases depicting the complexity of organizational factors and reports on ten issues that have had a negative impact on quality, followed by suggested avenues for corrective action.
Internet Relay Chat (IRC) is a commonly used tool by OpenSource developers. Developers use IRC channels to discuss programming related problems, but much of the discussion is irrelevant and off-topic. Essentially if we treat IRC discussions like email messages, and apply spam filtering, we can try to filter out the spam (the off-topic discussions) from the ham (the programming discussions). Yet we need labelled data that unfortunately takes time to curate.
To avoid costly curration in order to filter out off-topic discussions, we need positive and negative data-sources. On- line discussion forums, such as StackOverflow, are very effective for solving programming problems. By engaging in open-data, StackOverflow data becomes a powerful source of labelled text regarding programming. This work shows that we can train classifiers using StackOverflow posts as positive examples of on-topic programming discussion. YouTube video comments, notorious for their lack of quality, serve as training set of off- topic discussion. By exploiting these datasets, accurate classifiers can be built, tested and evaluated that require very little effort for end-users to deploy and exploit.
Open source software systems rely on community source code contributions to fix bugs and develop new features. Unfortunately, it is often difficult to become an effective contributor on open-source projects due to the complexity of the tools required to develop and test new patches and the challenge of breaking into an already-formed social organization. To help new contributors learn their development practices, OSS projects have created onboarding programs that, for example, identify easy 'first bugs' and mentor new developers' contributions. However, we found that developers who join an organization through these programs are half as likely to transition into long-term community members than developers who do not use these programs. Measuring the impact of these programs is important, as coordinating and staffing onboarding projects is expensive. This paper examines onboarding programs employed by Mozilla and demonstrates that they are not as effective at transitioning new developers into long-term contributors as might be hoped, although developers who do succeed through these programs find them valuable.
Over the past decade, both open source and commercial software projects have adopted contemporary peer code review practices as a quality control mechanism. Prior research has shown that developers spend a large amount of time and effort performing code reviews. Therefore, identifying factors that lead to useful code reviews can benefit projects by increasing code review effectiveness and quality. In a three-stage mixed research study, we qualitatively investigated what aspects of code reviews make them useful to developers, used our findings to build and verify a classification model that can distinguish between useful and not useful code review feedback, and finally we used this classifier to classify review comments enabling us to empirically investigate factors that lead to more effective code review feedback.
In total, we analyzed 1.5 millions review comments from five Microsoft projects and uncovered many factors that affect the usefulness of review feedback. For example, we found that the proportion of useful comments made by a reviewer increases dramatically in the first year that he or she is at Microsoft but tends to plateau afterwards. In contrast, we found that the more files that are in a change, the lower the proportion of comments in the code review that will be of value to the author of the change. Based on our findings, we provide recommendations for practitioners to improve effectiveness of code reviews.
Regular code, which includes repetitions of the same basic pattern, has been shown to have an effect on code comprehension: a regular function can be just as easy to comprehend as an irregular one with the same functionality, despite being longer and including more control constructs. It has been speculated that this effect is due to leveraging the understanding of the first instances to ease the understanding of repeated instances of the pattern. To verify and quantify this effect, we use eye tracking to measure the time and effort spent reading and understanding regular code. The results are that time and effort invested in the initial code segments are indeed much larger than those spent on the later ones, and the decay in effort can be modeled by an exponential or cubic model. This shows that syntactic code complexity metrics (such as LOC and MCC) need to be made context-sensitive, e.g. by giving reduced weight to repeated segments according to their place in the sequence.
Micro-clones are tiny duplicated pieces of code; they typically comprise only a few statements or lines. In this paper, we expose the "last line effect," the phenomenon that the last line or statement in a micro-clone is much more likely to contain an error than the previous lines or statements. We do this by analyzing 208 open source projects and reporting on 202 faulty micro-clones.
From the body of the paper: In total, our findings confirm the presence of a strong last line and last statement effect, accepting both RQ1 and RQ2. We assume the effect to be caused by and large through copy- and-pasting code, and that developers have a psychological tendency to think changes of similar code blocks are finished earlier than they really are. This way, they miss one critical last modification.
Make is one of the oldest build technologies and is still widely used today, whether by manually writing Makefiles, or by generating them using tools like Autotools and CMake. Despite its conceptual simplicity, modern Make implementations such as GNU Make have become very complex languages, featuring functions, macros, lazy variable assignments and (in GNU Make 4.0) the Guile embedded scripting language. Since we are interested in understanding how widespread such complex language features are, this paper studies the use of Make features in almost 20,000 Makefiles, comprised of over 8.4 million lines, from more than 350 different open source projects. We look at the popularity of features and the difference between hand-written Makefiles and those generated using various tools. We find that generated Makefiles use only a core set of features and that more advanced features (such as function calls) are used very little, and almost exclusively in hand-written Makefiles.
Creating documentation is a challenging task in software engineering and most techniques involve the laborious and sometimes tedious job of writing text. This paper explores an alternative to traditional text-based documentation, the screencast, which captures a developer's screen while they narrate how a program or software tool works. We conducted a study to investigate how developers produce and share developer-focused screencasts using the YouTube social platform. First, we identified and analyzed a set of development screencasts to determine how developers have adapted to the medium to meet the demands of development-related documentation needs. We also explored the techniques and strategies used for sharing software knowledge. Second, we interviewed screencast producers to understand their motivations for creating screencasts, and to uncover the perceived benefits and challenges in producing code-focused videos. Our findings reveal that video is a useful medium for communicating program knowledge between developers, and that developers build their online personas and reputation by sharing videos through social channels.
See this link for the first author's MSc thesis.
An effective way to learn about software development tools is by directly observing peers' workflows. However, these tool knowledge transfer events happen infrequently because developers must be both colocated and available. We explore an online social screencasting system that removes the dependencies of colocation and availability while maintaining the beneficial tool knowledge transfer of peer observation . Our results from a formative study indicate these online observations happen more frequently than in-person observations, but their effects are only temporary. We conclude that while peer observation facilitates online knowledge transfer, it is not the only component – other social factors may be involved.
High Performance Computing (HPC) has a long history of software development but relatively little is known about the approaches this community uses to create and maintain software. To close this gap we study the practices of using version control tools in five HPC production projects. We also contrast these practices to practices used in three distinct non-HPC open source projects. We first obtain version history of the projects from SVN, Mercurial, and Git. We then clean and process the data and use published material to construct three measures of code commit quality: the fraction of unique commit comments, their size, and the number of files per commit. Our results indicate relatively high but declining commit quality, and relatively large commits in HPC projects. We expect this work to highlight the differences among different software engineering domains and may lead to ideas suggesting good practices of using software tools in these domains.
As environmental models have become more complicated, we need new tools to analyze and validate these models and to facilitate collaboration among field scientists, observation dataset providers, environmental system modelers, and computer scientists. Modular design and function test of environmental models have gained attention recently within the Biological and Environmental Research Program of the U.S. Department of Energy. In this paper, we will present our methods and software tools 1) to analyze environmental software and 2) to generate modules for scientific function testing of environmental models. We have applied these methods to the Community Land Model with three typical scenarios: 1) benchmark case function validation, 2) observation- constraint function validation, and 3) a virtual root module generation for root function investigation and evaluation. We believe that our strategies and experience in scientific function test framework can be beneficial to many other research programs that adapt integrated environmental modeling methodology.
How can we attract developers? What can we do to incentivize developers to write code? We started the study by introducing the population pyramid visualization to software development communities, called software population pyramids, and found a typical pattern in shapes. This pattern comes from the differences in attracting coding contributors and discussion contributors. To understand the causes of the differences, we then build game-theoretical models of the contribution situation. Based on these results, we again analyzed the projects empirically to support the outcome of the models, and found empirical evidence. The answers to the initial questions are clear. To incentivize developers to code, the projects should prepare documents, or the projects or third parties should hire developers, and these are what sustainable projects in GitHub did in reality. In addition, making innovations to reduce the writing costs can also have an impact in attracting coding contributors.
Software testing is the process of an execution-based investigation of some aspects of the software's quality. The efficiency of the process depends on the methods and technologies used, but crucially also on the human testers. Software testers typically attempt to anticipate and expose ways software may be defective, a fundamentally different task set to those of other software development practitioners. This raises the question of whether the personality of software testers may be different to other people involved in software development. To test this hypothesis, we collected personality profiles using the big five factor model of around 200 software development practitioners. Analysis of this data indicates that software testers are significantly higher on the conscientiousness factor than other software development practitioners, while other factors remain broadly consistent.
Existing efforts on teaching software maintenance have focussed on constructing adequate codebases that students with limited knowledge could maintain, with little focus on the learning outcomes of such exercises and of the approaches that students employ while performing maintenance. An analysis of the code understanding strategies employed by novice students as they perform software maintenance exercises is fundamental for the effective teaching of software maintenance. In this paper, we analyze the strategies employed by second year students in a maintenance exercise over a large codebase. We analyze student reflections on their code understanding, maintenance process and the use of tools. We show that students are generally capable of working with large codebases. Our study also finds that the majority of students follow a systematic approach to code understanding, but that their approach can be significantly improved through the use of tools and a better understanding of reverse engineering approaches.
The development of discipline-specific cognitive and meta-cognitive skills is fundamental to the successful mastery of software development skills and processes. This development happens over time and is influenced by many factors, however its understanding by teachers is crucial in order to develop activities and materials to transform students from novice to expert software engineers. In this paper, we analyse the evolution of learning strategies of novice, first year students, to expert, final year students. We analyse reflections on software development processes from students in an introductory software development course, and compare them to those of final year students, in a distributed systems development course. Our study shows that computer science - specific strategies evolve as expected, with the majority of final year students including design before coding in their software development process, but that several areas still require scaffolding activities to assist in learning development.
Because of its many uses and benefits, code reviews are a standard part of the modern software engineering workflow. Since they require involvement of people, code reviewing is often the longest part of the code integration activities. Using experience gained at Microsoft and with support of data, we posit (1) that code reviews often do not find functionality issues that should block a code submission; (2) that effective code reviews should be performed by people with specific set of skills; and (3)that the social aspect of code reviews cannot be ignored. We find that we need to be more sophisticated with our guidelines for the code review workflow. We show how our findings from code reviewing practice influence our code review tools at Microsoft. Finally,we assert that, due to its costs, code reviewing practice is a topic deserving to be better understood, systematized and applied to software engineering workflow with more precision than the best practice currently prescribes.
Big Data computing platform has evolved to be a multi-tenant service. The service quality matters because system failure or performance slowdown could adversely affect business and user experience. To date, there is few study in literature on service quality issues of production Big Data computing platform. In this paper, we present an empirical study on the service quality issues of Microsoft ProductA, which is a company-wide multi-tenant Big Data computing platform, serving thousands of customers from hundreds of teams. ProductA has a well-defined escalation process (i.e., incident management process), which helps customers report service quality issues on 24/7 basis. This paper investigates the common symptom, causes and mitigation of service quality issues in Big Data platform. We conduct a comprehensive empirical study on 210 real service quality issues of ProductA. Our major findings include (1) 21.0% of escalations are caused by hardware faults; (2) 36.2% are caused by system side defects; (3) 37.2% are due to customer side faults. We also studied the general diagnosis process and the commonly adopted mitigation solutions. Our study results provide valuable guidance on improving existing development and maintenance practice of production Big Data platform, and motivate tool support.
Spreadsheets are used extensively in business processes around the world and as such, are a topic of research interest. Over the past few years, many spreadsheet studies have been performed on the EUSES spreadsheet corpus. While this corpus has served the spreadsheet community well, the spreadsheets it contains are mainly gathered with search engines and might therefore not represent spreadsheets used in companies. This paper presents an analysis of a new dataset, extracted from the Enron email archive, containing over 15,000 spreadsheets used within the Enron Corporation. In addition to the spreadsheets, we also present an analysis of the associated emails, where we look into spreadsheet-specific email behavior.
Our analysis shows that 1) 24% of Enron spreadsheets with at least one formula contain an Excel error, 2) there is little diversity in the functions used in spreadsheets: 76% of spreadsheets in the presented corpus use the same 15 functions and, 3) the spreadsheets are substantially more smelly than the EUSES corpus, especially in terms of long calculation chains. Regarding the emails, we observe that spreadsheets 1) are a frequent topic of email conversation with 10% of emails either referring to or sending spreadsheets and 2) the emails are frequently discussing errors in and updates to spreadsheets.
Note: while some people are already citing this as "proof" that spreadsheets are bad, the more interesting question is whether they are worse: is the error rate of (for example) R programs written by people with the same formal training in data analysis skills higher, lower, or the same? As far as I know, that study has yet to be done...
Sometimes debates on programming languages are more religious than scientific. Questions about which language is more succinct or efficient, or makes developers more productive are discussed with fervor, and their answers are too often based on anecdotes and unsubstantiated beliefs. In this study, we use the largely untapped research potential of Rosetta Code, a code repository of solutions to common programming tasks in various languages, which offers a large data set for analysis. Our study is based on 7,087 solution programs corresponding to 745 tasks in 8 widely used languages representing the major programming paradigms (procedural: C and Go; object-oriented: C# and Java; functional: F# and Haskell; scripting: Python and Ruby). Our statistical analysis reveals, most notably, that: functional and scripting languages are more concise than procedural and object- oriented languages; C is hard to beat when it comes to raw speed on large inputs, but performance differences over inputs of moderate size are less pronounced and allow even interpreted languages to be competitive; compiled strongly-typed languages, where more defects can be caught at compile time, are less prone to runtime failures than interpreted or weakly-typed languages. We discuss implications of these results for developers, language designers, and educators.
Asserts have long been a strongly recommended (if non-functional) adjunct to programs. They certainly don't add any user-evident feature value; and it can take quite some skill and effort to devise and add useful asserts. However, they are believed to add considerable value to the developer. Certainly, they can help with automated verification; but even in the absence of that, claimed advantages include improved understandability, maintainability, easier fault localization and diagnosis, all eventually leading to better software quality. We focus on this latter claim, and use a large dataset of asserts in C and C++ programs to explore the connection between asserts and defect occurrence. Our data suggests a connection: functions with asserts do have significantly fewer defects. This indicates that asserts do play an important role in software quality; we therefore explored further the factors that play a role in assertion placement: specifically, process factors (such as developer experience and ownership) and product factors , particularly interprocedural factors, exploring how the placement of assertions in functions are influenced by local and global network properties of the callgraph. Finally, we also conduct a differential analysis of assertion use across different application domains.
Most of the experiments in software engineering employ students as subjects. This raises concerns about the realism of the results acquired through students and adaptability of the results to software industry. Aim: We compare students and professionals to understand how well students represent professionals as experimental subjects in SE research. Method: The comparison was made in the context of two test-driven development experiments conducted with students in an academic setting and with professionals in a software organization. We measured the code quality of several tasks implemented by both subject groups and checked whether students and professionals perform similarly in terms of code quality metrics. Results: Except for minor differences, neither of the subject groups is better than the other. Professionals produce larger, yet less complex, methods when they use their traditional development approach, whereas both subject groups perform similarly when they apply a new approach for the first time. Conclusion: Given a carefully scoped experiment on a development approach that is new to both students and professionals, similar performances are observed. Further investigation is necessary to analyze the effects of subject demographics and level of experience on the results of SE experiments.
In past and recent years, the issues related to managing technical debt received significant attention by researchers from both industry and academia. There are several factors that contribute to technical debt. One of these is represented by code bad smells, i.e., symptoms of poor design and implementation choices. While the repercussions of smells on code quality have been empirically assessed, there is still only anecdotal evidence on when and why bad smells are introduced. To fill this gap, we conducted a large empirical study over the change history of 200 open source projects from different software ecosystems and investigated when bad smells are introduced by developers, and the circumstances and reasons behind their introduction. Our study required the development of a strategy to identify smell-introducing commits, the mining of over 0.5M commits, and the manual analysis of 9,164 of them (i.e., those identified as smell-introducing). Our findings mostly contradict common wisdom stating that smells are being introduced during evolutionary tasks. In the light of our results, we also call for the need to develop a new generation of recommendation systems aimed at properly planning smell refactoring activities.
Developers sometimes take the initiative to build tools to solve problems they face. What motivates developers to build these tools? What is the value for a company? Are the tools built useful for anyone besides their creator? We conducted a qualitative study of toolbuilding, adoption, and impact within Microsoft. This paper presents our findings on the extrinsic and intrinsic factors linked to toolbuilding, the value of building tools, and the factors associated with tool spread. We find that the majority of developers build tools. While most tools never spread beyond their creator's team, most have more than one user, and many have more than one collaborator. Organizational cultures that are receptive towards toolbuilding produce more tools, and more collaboration on tools. When nurtured and spread, homegrown tools have the potential to create significant impact on organizations.
In the pull-based development model, the integrator has the crucial role of managing and integrating contributions. This work focuses on the role of the integrator and investigates working habits and challenges alike. We set up an exploratory qualitative study involving a large-scale survey of 749 integrators, to which we add quantitative data from the integrator's project. Our results provide insights into the factors they consider in their decision making process to accept or reject a contribution. Our key findings are that integrators struggle to maintain the quality of their projects and have difficulties with prioritizing contributions that are to be merged. Our insights have implications for practitioners who wish to use or improve their pull-based development process, as well as for researchers striving to understand the theoretical implications of the pull-based model in software development.


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package utils
Ordering
- Alphabetic
Visibility
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- All
Type Members
- class CustomSparkListener extends SparkListener
-
class
NTriplesToParquetConverter extends AnyRef
Convert N-Triples data into the Apache Parquet format.
-
class
RDFSSchemaExtractor extends Logging with Serializable
An extractor of the schema for RDFS.
An extractor of the schema for RDFS.
Currently, it's supports the extraction of triples
(s,p,o)
withp
being- rdfs:subClassOf
- rdfs:subPropertyOf
- rdfs:domain
- rdfs:range
- case class RDFTriple(s: String, p: String, o: String) extends Product with Serializable
Value Members
- object NTriplesToParquetConverter
- object PrettyDuration
-
object
RDDUtils
Utility class for RDD operations.
- object SparkManager
- object SparkSettings


Elite force personnel killed in Rawalpindi
by Web DeskRAWALPINDI: A constable of the elite force was killed and four other personnel were injured after a truck rammed into their van from behind in the limits of Rawat police on Sunday.
Police officials told that a team of the elite force, headed by ASI Babar Shehzad and comprising Head Constable Fareed Ahmed and constables Naeem Ahmed, Mohammad Khurram, Ahmed Nawaz, Rashid, and Adnan were returning to the Mandra police station in their mobile van after a successful operation when a speeding truck struck rammed them from behind.
The police have arrested the truck driver and impounded his vehicle.


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{% extends "base_email.html" %} {% load abs_url %} {% block content %}
Someone changed information from your WiNRepo account.
To confirm this change, please access the following URL:
{% abs_url 'profiles:signup_confirm' %}?token={{ token }}
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- string
- join
- length
- is empty
- compare texts
- trim
- upcase
- downcase
- starts at
- contains
- contains any
- contains all
- split at first
- split at first of any
- split
- split at any
- split at spaces
- segment
- replace all
- obfuscated text
- is a string?
- reverse
- replace all mappings
” “ (string block)
Contains a text string.
This string can contain any characters (letters, numbers, or other special characters). On App Inventor it will be considered a Text object.
join
Appends all of the inputs to make a single string. If no inputs, returns an empty string.
length
Returns the number of characters including spaces in the string. This is the length of the given text string.
is empty
Returns whether or not the string contains any characters (including spaces). When the string length is 0, returns true otherwise it returns false.
compare texts < > = ≠
Returns whether or not the first string is lexicographically <, >, =, or ≠ the second string depending on which dropdown is selected.
A string a considered lexicographically greater than another if it is alphabetically greater than the other string. Essentially, it would come after it in the dictionary. All uppercase letters are considered smaller or to occur before lowercase letters. cat would be > Cat.
trim
Removes any spaces leading or trailing the input string and returns the result.
upcase
Returns a copy of its text string argument converted to all upper case.
downcase
Returns a copy of its text string argument converted to all lower case.
starts at
Returns the character position where the first character of piece first appears in text, or 0 if not present. For example, the location of ana in havana banana is 4.
contains
Returns true if piece appears in text; otherwise, returns false.
contains any
Returns true if any of the pieces in the piece list appear in text; otherwise, returns false.
This block can be obtained by changing the dropdown on the contains block.
contains all
Returns true if all of the pieces in the piece list appear in text; otherwise, returns false.
This block can be obtained by changing the dropdown on the contains block.
split at first
Divides the given text into two pieces using the location of the first occurrence of at as the dividing point, and returns a two-item list consisting of the piece before the dividing point and the piece after the dividing point. Splitting apple,banana,cherry,dogfood with a comma as the splitting point returns a list of two items: the first is the text apple and the second is the text banana,cherry,dogfood. Notice that the comma after apple doesn’t appear in the result, because that is the dividing point.
split at first of any
Divides the given text into a two-item list, using the first location of any item in the list at as the dividing point.
Splitting i love apples bananas apples grapes by the list [ba,ap] would result in a list of two items the first being i love and the second ples bananas apples grapes.
split
Divides text into pieces using at as the dividing points and produces a list of the results. Splitting one,two,three,four at , (comma) returns the list (one two three four). Splitting one-potato,two-potato,three-potato,four at -potato, returns the list (one two three four).
split at any
Divides the given text into a list, using any of the items in at as the dividing point, and returns a list of the results.
Splitting appleberry,banana,cherry,dogfood with at as the two-element list whose first item is a comma and whose second item is rry returns a list of four items: (applebe banana che dogfood).
split at spaces
Divides the given text at any occurrence of a space, producing a list of the pieces.
segment
Extracts part of the text starting at start position and continuing for length characters.
replace all
Returns a new text string obtained by replacing all occurrences of the substring with the replacement.
Replace all with She loves eating. She loves writing. She loves coding as the text, She as the segment, and Hannah as the replacement would result in Hannah loves eating. Hannah loves writing. Hannah loves coding.
obfuscated text
Produces text, like a text block. The difference is that th etext is not easily discoverable by examining the app’s contents. Use this when creating apps to distribute that include confidential information, for example, API keys.
Warning: This provides only very low security against expert adversaries.
is a string?
Returns true if thing is a text object, otherwise false.
reverse
Reverse the given text. For example, “reverse” would become “esrever”.
replace all mappings
Given a dictionary of mappings as input, replaces the key entries in the text with the corresponding values in the dictionary. Returns the text with the mappings applied.
dictionary order
If the dictionary order is specified, in the case of one key entry being a substring of another key entry, the first one to be replaced is based on the entry order in the dictionary (the earliest one gets replaced first).
longest string first order
If the longest string order is specified, in the case of one key entry being a substring of another key entry, the first one to be replaced is the one which is longer.


See Todos
The users
create user
get all users
create User
delete user by id
update user by id
get user Tasks
userId
first Name
last name
username
email
userId
task
info


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HELMNotationToolkit 1.0 |
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| org.helm.notation | |
| org.helm.notation.model | |
| org.helm.notation.tools |
| Uses of Attachment in org.helm.notation |
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| Methods in org.helm.notation that return types with arguments of type Attachment | |
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java.util.Map<java.lang.String,Attachment> |
MonomerFactory.getAttachmentDB()
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| Uses of Attachment in org.helm.notation.model |
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| Methods in org.helm.notation.model that return Attachment | |
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Attachment |
Monomer.getAttachment(java.lang.String label)
get a specific attachment by passing in a label |
| Methods in org.helm.notation.model that return types with arguments of type Attachment | |
|---|---|
java.util.Map<java.lang.String,Attachment> |
MonomerCache.getAttachmentDB()
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java.util.List<Attachment> |
Monomer.getAttachmentList()
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| Methods in org.helm.notation.model with parameters of type Attachment | |
|---|---|
boolean |
Monomer.addAttachment(Attachment attachment)
Try to add a new attachment to this monomer |
| Method parameters in org.helm.notation.model with type arguments of type Attachment | |
|---|---|
void |
MonomerCache.setAttachmentDB(java.util.Map<java.lang.String,Attachment> attachmentDB)
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void |
Monomer.setAttachmentList(java.util.List<Attachment> attachmentList)
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| Uses of Attachment in org.helm.notation.tools |
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| Methods in org.helm.notation.tools that return Attachment | |
|---|---|
static Attachment |
DeepCopy.copy(Attachment attachment)
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static Attachment |
MonomerParser.getAttachment(org.jdom.Element attachment)
Convert ATTACHMENT element to Attachment object |
| Methods in org.helm.notation.tools with parameters of type Attachment | |
|---|---|
static Attachment |
DeepCopy.copy(Attachment attachment)
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static void |
MonomerParser.fillAttachmentInfo(Attachment att)
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static org.jdom.Element |
MonomerParser.getAttachementElement(Attachment att)
This method converts Attachment to ATTACHMENT XML element |
static boolean |
MonomerParser.validateAttachement(Attachment attachment)
This method validates Attachment by the following rules Attachment must have unique ID cap group SMILES must be valid cap group SMILES must contain one R group R group in SMILES must match R group label |
|
HELMNotationToolkit 1.0 |
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| PREV NEXT | FRAMES NO FRAMES |


I always tried to view people in others' perspective, I always try to make sure I do the right things and come up with the right decisions, yet theres somethingmissing.... and I have no idea what it is...I love wolves by the way... They are my favourite animals in all the animal kingdom.... and I would mary one if that's applicable.. but saldy, it is not..
Read MoreWhat actually puzzles me most, or the very question that I cannot come up with an answer is that.. will humans still exist centuries from now?... or will other species evolve and take over our world... just like the dolphins, all we have to do is swim, meaning just live, stick together, do not worry yourself over thing that are yet to reveal themselves.
Read MoreLooking back. I would have laughed in the face of danger, I would have calmed myself down and believe in the power of instinc... and yet I cannot begin to understand how such creature can be so majestic in their own way just by being themselves.... I know I actually make no sense here because it jumped from one topic to another.. but o.. oh well...
Read MoreStrength is not measure by how many kilograms of rice you can carry, or how big your musscles have grown or even how you can lift tons of pound of weigh but it is measured by something that is inside the human body which is also beyond human comprehension..... But I would consider love to be one contributor in such search of strength.
Read More


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IN THE HIGH COURT OF JUDICATURE AT MADRAS DATED : 21.07.2017 CORAM The HON'BLE MS.INDIRA BANERJEE, CHIEF JUSTICE AND The HON'BLE MR.JUSTICE M.SUNDAR W.P.No.18111 of 2017 J.Prabahar .. Petitioner vs. 1.The Chairman, Tamil Nadu Pollution Control Board, No.76, Anna Salai, Guindy, Chennai. 2.The District Collector, Salem District, Salem. 3.The Chief Engineer, Mettur Thermal Power Station-1, Mettur Dam 636 406, Salem District. .. Respondents PRAYER : Writ Petition filed under Article 226 of the Constitution of India for issuance of a writ of mandamus directing the respondents to remove the wet fly ash stagnated in the lake which is situated in the 3rd respondent Mettur Thermal Power Station based on petitioner's representation dated 22.03.2017 within the stipulated time may be fixed by this Hon'ble Court. For Petitioner : Mr.R.Murugabharathi For Respondents : Mr.M.K.Subramanian Government Pleader for respondents 1 to 3 ORDER
(Order of the Court was made by the Hon'ble Chief Justice) This writ petition has been filed seeking a writ in the nature of mandamus directing the respondents to remove the wet fly ash stagnated in the lake within the premises of Mettur Thermal Power Station.
2. The petitioner has efficacious remedy under Section 14 of the National Green Tribunal Act, 2010. The grievance is under the Water (Prevention and Control of Pollution) Act, 1974 as also Air (Prevention and Control of Pollution) Act, 1981, which are within the domain of the National Green Tribunal constituted under the provisions of the said Act.
3. We need not entertain the writ petition. However, this writ petition may be transferred to the Southern Bench of the National Green Tribunal, Chennai. In the mean while, the respondent authorities and in particular the Chairman, Tamil Nadu Pollution Control Board shall ensure that there is no breach of the provisions of the Water (Prevention and Control of Pollution) Act, 1974 as also Air (Prevention and Control of Pollution) Act, 1981.
(I.B., CJ.) (M.S., J.) 21.07.2017 Index : No Internet : Yes bbr To: 1.The Chairman, Tamil Nadu Pollution Control Board, No.76, Anna Salai, Guindy, Chennai. 2.The District Collector, Salem District, Salem. 3.The Chief Engineer, Mettur Thermal Power Station-1, Mettur Dam 636 406, Salem District. THE HON'BLE CHIEF JUSTICE AND M.SUNDAR, J. bbr W.P.No.18111 of 2017 21.07.2017


Events
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Sheetmusic for piano players
Jacques Wijnen wrote a lot of great sheetmusic for piano players of all levels. I created this Wordpress site for him to sell his work online.
This web store has sheetmusic snippets and mp3 samples available, to get an idea about the awesomenes your're about to buy!


Hello
| Name | : | Yutong Wang(Elva) |
| : |<EMAIL_ADDRESS>| |
| Address | : | San Francisco, Bay Area |
| Position | : | Software Engineer @ Google |
Employement
-
VMware
Software Engineer
July. 2019 – Feb. 2021
Worked on infrastructure/platform team.
Technical Skills/Stack:
Kubernetes, Docker, Elastic Search, Nats, REST API, gRPC
-
BayTech Digital
Software development intern.
June. 2018 – Aug. 2018
Worked as full stack web development engineer.
Worked closely with clients and assisted with the troubleshooting and deployment of several software projects.
Education
Learning creates everything.
-
University Of Virginia
Computer Science
Aug. 2017 - May. 2019
M.S. in Computer Science
GPA: 3.8/4.0
Course: Machine Learning, Text Mining, Information Retrieval, Algorithm, Software Testing.
-
Taiyuan University Of Technology
Software Engineering
09/2013 - 05/2017
B.E. in Software Engineering
GPA: 90/100
Course: Web Development, Software Testing, Data Structure, Software Testing
Projects
Enjoy Learning, enjoy practicing.
-
Full Stack Web App: Lemon Fitness
Jul. 2018 – Nov, 2018
Designed and implemented full stack web application using JavaScript by MeteorJs for users’ healthy management
Developed Web UI with React.js and connected with MongoDB using node.js.
-
Music Recommendation System Based On GloVe
Mar. 2018 – May 2018
Used GloVe research method to embed the item into vector space. Successfully modeled music from NetEaseMusic API as high-dimensional vector space and referred the relationship between each of them by Python.
Proposed a method to do recommendation based on trained model and user data, validated on analogy and similarity tasks.
-
Java Resources Sharing Website Based On JavaEE.
Mar. 2017 – May 2017
Developed fully functional responsive prototypes using HTML/HTML5, CSS3, JavaScript and JQuery
Implemented MVC architecture to isolate each layer of the application to implement high Cohesion & low Coupling
-
Information Retrieval
Oct. 2017 – Dec. 2017
Discovered the topics in documents via Latent Dirichlet allocation with collapsed Gibbs sampling.
Modeled and predicting the popularity of given topic via Hawkes process by python
Apart from work, I enjoy climbing, snowboarding, and running. I am also a certificated yoga instructor in China.


Hi, I'm Juan!, I'm a systems engineer focused on the study of artificial intelligence, machine learning and deep learning.
Techniques, libraries, environments, new technologies in the area of machine learning are my field of study. I can share some Colab Notebooks with which I have learned some interesting things.
Outside of work, I dedicate myself to study music, play the guitar and learn new songs in it.


Developing Linear Regression Model:
Linear regression model offers simple and fundamental modeling approach for any kind of data. This projects develops a python class for regression model. Modeling enthusiast can input data into this class and can input data to this class and get a fitted model for the data you input. You can also specify the order of the fitting equation.
Before You Start:
I know you are super excited to test your data to get a model, but before that how about you get stuffs ready to have a smooth model creation process. Things You need are:
- Basic knowledge on Statistics
- Coding experience in scripting language like Python, R (here I used Python)
- Object oriented programming
Installation:
Install Python: Install latest version of python
Install Python IDE: Install Pycharm community edition
Resources:
Python for beginners: A great resource for beginners
Python for intermediates: If you want to dig more
Functional programming in python: if you want to dig even more
TensorFlow: A versatile deep learning package in python
Regression Model:
Code goes here
Results:
Linear Regression:
Linear Regression with 4 hidden layers
A high order polynomial fit with 4 hidden layers


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| the symphony | the melody | the minute | |||
|---|---|---|---|---|---|
| family song | jesu mo gbe yin soke | a go blow | |||
| grace and mercy album | fake friends | olorun too daa |